Results 41 to 50 of about 2,158 (165)

Coffee-Yield Estimation Using High-Resolution Time-Series Satellite Images and Machine Learning

AgriEngineering, 2022
Coffee has high relevance in the Brazilian agricultural scenario, as Brazil is the largest producer and exporter of coffee in the world. Strategies to advance the production of coffee grains involve better understanding its spatial variability along ...
Maurício Martello, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho, João Vitor Moreira Nicoletti   +4 more
doaj   +1 more source

VEGETATION INDICES FOR IRRIGATED CORN MONITORING [PDF]

Engenharia Agrícola, 2020
Monitoring of large agricultural lands is often hampered by data collection logistics at field level. To solve such a problem, remote sensing techniques have been used to estimate vegetation indices, which can subsidize crop management decision-making ...
Francisco C. G. Alvino, Catariny C. Aleman, Roberto Filgueiras, Daniel Althoff, Fernando F. da Cunha   +4 more
doaj   +1 more source

Remote sensing and citizen science for habitat mapping: A machine learning approach to lowland heathland in Surrey, UK

People and Nature, EarlyView.
Abstract In a time of extensive global biodiversity loss, conservation efforts increasingly rely on high‐resolution, accurate, up‐to‐date habitat maps to guide decision‐making and strategic interventions. Many products have been developed in response, using machine learning (ML) methods to automate habitat classification, often relying on satellite ...
Victoria Webster, Ana Andries, Daniel Banks, Andrew Jamieson, Ben Siggery, Mike Waite, Richard Murphy, Stephen Morse   +7 more
wiley   +1 more source

High-throughput phenotyping allows the selection of soybean genotypes for earliness and high grain yield

Plant Methods, 2022
Background Precision agriculture techniques are widely used to optimize fertilizer and soil applications. Furthermore, these techniques could also be combined with new statistical tools to assist in phenotyping in breeding programs.
Dthenifer Cordeiro Santana, Marcos Paulo de Oliveira Cunha, Regimar Garcia dos Santos, Mayara Fávero Cotrim, Larissa Pereira Ribeiro Teodoro, Carlos Antonio da Silva Junior, Fabio Henrique Rojo Baio, Paulo Eduardo Teodoro   +7 more
doaj   +1 more source

Remote Sensing for Sustainable Pistachio Cultivation and Improved Quality Traits Evaluation through Thermal and Non-Thermal UAV Vegetation Indices

Applied Sciences, 2023
Pistachio (Pistacia vera L.) has earned recognition as a significant crop due to its unique nutrient composition and its adaptability to the growing threat of climate change.
Raquel Martínez-Peña, Sergio Vélez, Rubén Vacas, Hugo Martín, Sara Álvarez   +4 more
doaj   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal, Huijie Gan, Jitender Rathore, Sheetal Kumari, Ivy Flory, Caleb Bishop, Santosh Rijal, Olga Walsh   +7 more
wiley   +1 more source

Correlations between spectral and biophysical data obtained in canola canopy cultivated in the subtropical region of Brazil [PDF]

Pesquisa Agropecuária Brasileira, 2017
: The objective of this work was to identify the spectral bands, vegetation indices, and periods of the canola crop season in which the correlation between spectral data and biophysical indicators (total shoot dry matter and grain yield) is most ...
Daniele Gutterres Pinto, Denise Cybis Fontana, Genei Antonio Dalmago, Elizandro Fochesatto, Matheus Boni Vicari, Carolina Bremm, Gilberto Rocca da Cunha, Jorge Alberto de Gouvêa, Anderson Santi   +8 more
doaj   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source